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Berthing Speed Control Law for Large Vessels Based on AIS Data

机译:基于AIS数据的大型船只的停泊速度控制法

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A vast ocean of AIS (Automatic Identification System) data broadcast by ships contain characteristic of marine traffic, from which information that reflects latent principles of characteristics of ship movements can be gathered. To extract features of vessels during the berthing phase with as little error as possible, using data mining method and mid-latitude sailing in combination, based on AIS database. Then applying the algorithm to Xiamen Songyu port area and Tianjin Beijiang port area for data of full year 2014 in these two waters. Lastly, in-depth analysis is carried out to discover the berthing speed control law for large container vessels when remaining distance to berth is about 20 times own ship LOA (Length Overall). The research may help competent authority advance the rule of safe speed, while it also provides the basis of speed control during berthing phase for pilot or self-pilot personnel.
机译:AIS(自动识别系统)通过船舶广播的巨大海洋包含海洋交通的特征,可以收集反映船舶运动特征潜在特征的信息。基于AIS数据库,使用数据挖掘方法和中纬度航行,在Berthing相位期间提取血管的特征,从而使用数据挖掘方法和中纬度航行。然后将算法应用于厦门松宇港区和天津北江港区,以便在这两个水域中全年的数据数据。最后,进行深入的分析,以发现大型集装箱船只在剩余距离的距离约20次船舶LOA(总体长度)时。该研究可以帮助主管当局推进安全速度的规则,而在飞行员或自我试点人员的停泊期间还提供了速度控制的基础。

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